Economic Impact | 13 Sep 2021

The Economic Importance of Motorcycles to Europe

Economic Consulting Team

Oxford Economics

Motorcycle-related activity supports €21.4 billion of output (GDP) across Europe a year, sustains 389,000 jobs, and generates €16.6 billion of tax revenues, according to research by Oxford Economics. This means that in 2019 economic activities associated with motorcycling generated more GDP, and employed more people, than the metropolitan area economies centred on Venice, Malaga, and Palma de Mallorca. The total tax impact would have been sufficient to cover the pay of 380,000 teachers, or some 6.5% of all European teachers.

Four-fifths of the total was accounted for by six countries, namely Italy (23%), Germany (20%), France (13%), the UK (11%), Spain (7%), and Austria (7%).

This report, commissioned by ACEM, the motorcycle industry in Europe, also investigates the international trade in motorcycles and parts. In 2019, manufacturers in the EU-27 and the UK sold €2.1 billion of these goods to non-European customers—so that exports accounted for 39% of their total sales by value. Even so, European countries had a trade deficit in these products, with imports totalling €4.5 billion. Large quantities are imported from Asian countries where European manufacturers face high import tariffs. These high custom duties protect their domestic markets by making European vehicles relatively more expensive.

This report, commissioned by ACEM, the motorcycle industry in Europe, also investigates the international trade in motorcycles and parts. In 2019, manufacturers in the EU-27 and the UK sold €2.1 billion of these goods to non-European customers—so that exports accounted for 39% of their total sales by value. Even so, European countries had a trade deficit in these products, with imports totalling €4.5 billion. Large quantities are imported from Asian countries where European manufacturers face high import tariffs. These high custom duties protect their domestic markets by making European vehicles relatively more expensive.

About the team

Our economic consulting team are world leaders in quantitative economic analysis, working with clients around the globe and across sectors to build models, forecast markets and evaluate interventions using state-of-the art techniques. The lead consultant on this project was:

You might be interested in

Manufacturing

Post

Mapping Europe’s regional exposure to supply chain issues

Global supply chain disruptions are impacting regions of Europe that are heavily dependent on the two key industrial sectors of machinery manufacturing and vehicle manufacturing.

Find Out More

Post

Global chip shortage has peaked, but tight supply will endure

The global semiconductor shortage has passed its peak, as chipmakers have ramped up production significantly since the middle of 2021. Chipmakers have increased both production capacity and utilisation to meet the excess demand.

Find Out More
shipping

Post

Global Key themes 2022: Supply chains to begin normalising

Industrial production will lag services growth globally going into 2022 as supply-chain pressures continue to bite and the post-pandemic recovery in household spending on services continues apace – with the Omicron variant a significant near-term downside risk.

Find Out More

Post

Global | EV transition will turbocharge demand for electricity

Electricity demand from the road vehicle sector is set to accelerate sharply in the coming decades, according to our new forecasting methodology. We project the road sector’s share of electricity demand globally will climb from less than 0.5% today to 7% in 2050, with Europe and China leading the way.Our methodology builds upon detailed national electric-vehicle sales projections provided by our automotive partner, LMC Automotive, to construct forecasts of road vehicle electricity demand for the 17 largest car markets.

Find Out More

Post

Data-powered automotive warranty re-invention

Warranty data can be a valuable resource for automotive companies if they collect it, integrate it with other quality-related data, and analyze it with AI.

Find Out More